Recent advances in functional data analysis and high-dimensional statistics
Recent advances in functional data analysis and high-dimensional statistics - ScienceDirect
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Second-generation functional data
Modern studies from a variety of fields record multiple functional observations according to
either multivariate, longitudinal, spatial, or time series designs. We refer to such data as …
either multivariate, longitudinal, spatial, or time series designs. We refer to such data as …
[图书][B] Introduction to functional data analysis
P Kokoszka, M Reimherr - 2017 - taylorfrancis.com
Introduction to Functional Data Analysis provides a concise textbook introduction to the field.
It explains how to analyze functional data, both at exploratory and inferential levels. It also …
It explains how to analyze functional data, both at exploratory and inferential levels. It also …
Springer series in statistics
The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …
[图书][B] Inference for functional data with applications
L Horváth, P Kokoszka - 2012 - books.google.com
This book presents recently developed statistical methods and theory required for the
application of the tools of functional data analysis to problems arising in geosciences …
application of the tools of functional data analysis to problems arising in geosciences …
[HTML][HTML] An introduction to recent advances in high/infinite dimensional statistics
A Goia, P Vieu - Journal of Multivariate Analysis, 2016 - Elsevier
An introduction to recent advances in high/infinite dimensional statistics - ScienceDirect Skip
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[图书][B] Random fields for spatial data modeling
DT Hristopulos - 2020 - Springer
The series aims to: present current and emerging innovations in GIScience; describe new
and robust GIScience methods for use in transdisciplinary problem solving and decision …
and robust GIScience methods for use in transdisciplinary problem solving and decision …
Functional additive mixed models
We propose an extensive framework for additive regression models for correlated functional
responses, allowing for multiple partially nested or crossed functional random effects with …
responses, allowing for multiple partially nested or crossed functional random effects with …
A general science-based framework for dynamical spatio-temporal models
Spatio-temporal statistical models are increasingly being used across a wide variety of
scientific disciplines to describe and predict spatially-explicit processes that evolve over …
scientific disciplines to describe and predict spatially-explicit processes that evolve over …
A Universal Kriging predictor for spatially dependent functional data of a Hilbert Space
A Menafoglio, P Secchi, M Dalla Rosa - 2013 - projecteuclid.org
A Universal Kriging predictor for spatially dependent functional data of a Hilbert Space Page 1
Electronic Journal of Statistics Vol. 7 (2013) 2209–2240 ISSN: 1935-7524 DOI: 10.1214/13-EJS843 …
Electronic Journal of Statistics Vol. 7 (2013) 2209–2240 ISSN: 1935-7524 DOI: 10.1214/13-EJS843 …